Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis
Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis
复制标题
DOI：
10.1016/j.neuroimage.2010.05.029
复制
发表时间：
2010-10-01
期刊：
影响因子：
5.7
通讯作者：
Collins, D. Louis
中科院分区：
文献类型：
--
作者：
Derakhshan, Mishkin;Caramanos, Zografos;Collins, D. Louis
有几种方法存在，并经常用于量化多发性硬化症（MS）中的灰质（GM）萎缩。所有可用技术的基础是大脑中GM的准确分割，这是一项困难的任务，甚至进一步被MS患者大脑中存在的病理学所混淆。在本文中，我们研究了六种不同的自动化技术的分割，并将其与手动定义的参考标准进行比较。结果表明，虽然该算法执行类似于皮质GM的手动分割，严重的缺点是存在于深层GM结构的分割。考虑到目前对GM在MS中的作用的兴趣以及大量关于深部GM结构萎缩的报道，这种缺陷特别相关。(C)2010年爱思唯尔公司All rights reserved.
Several methods exist and are frequently used to quantify grey matter (GM) atrophy in multiple sclerosis (MS). Fundamental to all available techniques is the accurate segmentation of GM in the brain, a difficult task confounded even further by the pathology present in the brains of MS patients. In this paper, we examine the segmentations of six different automated techniques and compare them to a manually defined reference standard. Results demonstrate that, although the algorithms perform similarly to manual segmentations of cortical GM, severe shortcomings are present in the segmentation of deep GM structures. This deficiency is particularly relevant given the current interest in the role of GM in MS and the numerous reports of atrophy in deep GM structures. (C) 2010 Elsevier Inc. All rights reserved.